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About

Traditionally, deep learning, 3D modeling, simulations, distributed analytics, and molecular modeling take days or weeks time. However, with GPUonCLOUD’s dedicated GPU servers, it's a matter of hours. You may want to opt for pre-configured systems or pre-built instances with GPUs featuring deep learning frameworks like TensorFlow, PyTorch, MXNet, TensorRT, libraries e.g. real-time computer vision library OpenCV, thereby accelerating your AI/ML model-building experience. Among the wide variety of GPUs available to us, some of the GPU servers are best fit for graphics workstations and multi-player accelerated gaming. Instant jumpstart frameworks increase the speed and agility of the AI/ML environment with effective and efficient environment lifecycle management.

About

IONOS GPU Servers provide an accelerated computing infrastructure designed to handle workloads that require significantly more processing power than traditional CPU-based systems. It integrates enterprise-grade NVIDIA GPUs such as the H100, H200, and L40s, as well as specialized AI accelerators like Intel Gaudi, enabling massive parallel processing for compute-intensive applications. GPU-accelerated instances extend cloud infrastructure with dedicated graphics processors so virtual machines can perform complex calculations and data-heavy operations much faster than conventional servers. It is particularly suitable for artificial intelligence, deep learning, and data science tasks that involve training models on large datasets or performing high-speed inference operations. It also supports big data analytics, scientific simulations, and visualization workloads such as 3D rendering or modeling that require high computational throughput.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Companies interested in a GPU server solution for AI and machine learning

Audience

AI engineers, data scientists, and research teams who need GPU-accelerated cloud servers to train machine learning models and process large computational workloads

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

$1 per hour
Free Version Not Supported
Free Trial Not Supported

Pricing

$3,990 per month
Free Version Not Supported
Free Trial Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Company Information

GPUonCLOUD
India
gpuoncloud.com/gpu-as-a-service/

Company Information

IONOS
Founded: 1988
Germany
cloud.ionos.com/servers/gpu-server

Alternatives

Alternatives

Hyperstack

Hyperstack

Hyperstack Cloud
AWS Neuron

AWS Neuron

Amazon Web Services

Categories

AI Cloud Providers Supported
AI Infrastructure Supported
Cloud GPU Supported

Categories

AI Cloud Providers Supported
AI Infrastructure Supported
Cloud GPU Supported

Integrations

IONOS Not Supported
Intel Gaudi Software Not Supported
MXNet Supported
NVIDIA virtual GPU Not Supported
PyTorch Supported
TensorFlow Supported

Integrations

IONOS Supported
Intel Gaudi Software Supported
MXNet Not Supported
NVIDIA virtual GPU Supported
PyTorch Not Supported
TensorFlow Not Supported
Claim GPUonCLOUD and update features and information
Claim GPUonCLOUD and update features and information